Related Experiment Video

Updated: Nov 9, 2025

Preliminary Study on Acupuncture Combined with Grain-sized Moxibustion for Treating Rheumatoid Arthritis with Finger Joint Pain
04:50

Preliminary Study on Acupuncture Combined with Grain-sized Moxibustion for Treating Rheumatoid Arthritis with Finger Joint Pain

Published on: May 16, 2025

509

Gout, Rheumatoid Arthritis, and the Risk of Death Related to Coronavirus Disease 2019: An Analysis of the UK Biobank

Ruth K Topless1, Amanda Phipps-Green1, Megan Leask2

  • 1University of Otago, Dunedin, New Zealand.

ACR Open Rheumatology
|April 15, 2021
PubMed

Insights

Rheumatoid arthritis (RA) increases the risk of death from COVID-19, but gout does not. This study analyzed UK Biobank data to assess these risks, finding RA a significant factor for mortality in coronavirus disease 2019 patients.

Area of Science:

  • Immunology
  • Epidemiology
  • Public Health

Background:

  • Gout and rheumatoid arthritis (RA) are inflammatory conditions.
  • The impact of these conditions on COVID-19 outcomes is not fully understood.
  • Assessing these risks is crucial for patient management and public health strategies.

Purpose of the Study:

  • To determine if gout and/or RA are risk factors for COVID-19 diagnosis.
  • To evaluate if gout and/or RA are risk factors for mortality following COVID-19 diagnosis.

Main Methods:

  • Utilized UK Biobank data for a large-scale cohort study.
  • Employed multivariable-adjusted logistic regression for association analyses.
  • Conducted analyses on COVID-19 diagnosis and mortality risk in relation to gout and RA.

Main Results:

  • Rheumatoid arthritis (RA), not gout, was linked to a higher likelihood of COVID-19 diagnosis.
  • Neither RA nor gout showed association with mortality risk among COVID-19 patients in a case-control analysis.
  • RA independently associated with increased COVID-19 related mortality risk within the broader UK Biobank cohort.

Conclusions:

  • Rheumatoid arthritis (RA) is identified as a significant risk factor for death from COVID-19.
  • Further research with larger datasets and broader factor inclusion is warranted to validate these findings.
Abstract

More Related Videos

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes07:22

Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes

Published on: March 7, 2025

490
An Immunohistopathologic Study to Profile the Folate Receptor Beta Macrophage and Vascular Immune Microenvironment in Giant Cell Arteritis06:35

An Immunohistopathologic Study to Profile the Folate Receptor Beta Macrophage and Vascular Immune Microenvironment in Giant Cell Arteritis

Published on: February 8, 2019

7.4K

Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
14.9K
Rheumatic Heart Disease I: Introduction01:23

Rheumatic Heart Disease I: Introduction

Rheumatic heart disease or RHD is a chronic condition that results from rheumatic fever, causing permanent damage to the heart valves.Etiology and Risk FactorsIt primarily arises from rheumatic fever, an inflammatory disease that can develop after untreated or inadequately treated group A streptococcal (GAS) pharyngitis. Streptococcus spreads through direct contact with oral or respiratory secretions. While the bacteria are the causative agents, factors like malnutrition, overcrowding, poor...
154
Rheumatic Heart Disease III: Medical Management01:21

Rheumatic Heart Disease III: Medical Management

Rheumatic heart disease (RHD) management can be divided into two main strategies: prevention and long-term management.Primary PreventionPrimary prevention focuses on timely diagnosis and management of group A streptococcal pharyngitis to prevent acute rheumatic fever. The most widely used antibiotic for treating this condition is intramuscular benzathine penicillin G.Acute Rheumatic Fever TreatmentThe primary treatment goal for a patient diagnosed with acute rheumatic fever is to suppress the...
97
Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies01:22

Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies

The key clinical manifestations of Rheumatic heart disease (RHD) include several distinct cardiac symptoms.Carditis, a hallmark of acute rheumatic fever, involves inflammation of the heart's endocardium, myocardium, and pericardium. Chronic RHD often results from recurrent episodes of carditis. Its symptoms include the following:Murmurs are caused by valvular damage, especially to the mitral and aortic valves. Mitral stenosis or regurgitation is common, with characteristic heart murmurs...
194
The JAK-STAT Signaling Pathway01:20

The JAK-STAT Signaling Pathway

Several cytokine receptors have tightly bound Janus kinase or JAK proteins attached at their cytosolic tail. Small signaling molecules such as cytokines, growth hormones, or prolactins bind to the cytokine receptors and initiate their dimerization. The dimerization brings the cytosolic JAKs together that trans-phosphorylate and activates each other. The activated JAKs now phosphorylate cytosolic tails of the cytokine receptors, which serve as binding sites for adaptor proteins such as  SH2...
10.0K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
919